Josh Herbach

Artificial Intelligence · 2009

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it; #33,224 of 35,345 by trust here, #19,439 by citations

Whom Josh Herbach trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. R. Caruana
2. Jerome H. Friedman
3. Muthu Dayalan
4. Manish Mehta
5. Leo Breiman

Who trusts Josh Herbach overall

1. Evan R. Sparks
2. Ameet Talwalkar
3. Yin Lou
4. Stephen Tyree
5. Adam E. Bloniarz
6. Matt Taddy

Papers from Josh Herbach's perspective

Ordered by how strongly the researchers Josh Herbach trusts endorse each paper. Same corpus, a different order for every researcher.

1. Bagging Predictors
2. Random Forests
3. The Nature of Statistical Learning Theory
4. An empirical comparison of supervised learning algorithms
5. Greedy function approximation: A gradient boosting machine.
6. Experiments with a New Boosting Algorithm
7. SLIQ: A Fast Scalable Classifier for Data Mining
8. MapReduce: simplified data processing on large clusters
9. Pattern Classification
10. Map-Reduce for Machine Learning on Multicore

Their papers

• PLANET: Massively Parallel Learning of Tree Ensembles with MapReduce (2009) — 320 citations